Validation of MODIS 3 km land aerosol optical depth from NASA's EOS Terra and Aqua missions
-
Published:2018-05-31
Issue:5
Volume:11
Page:3145-3159
-
ISSN:1867-8548
-
Container-title:Atmospheric Measurement Techniques
-
language:en
-
Short-container-title:Atmos. Meas. Tech.
Author:
Gupta PawanORCID, Remer Lorraine A., Levy Robert C.ORCID, Mattoo Shana
Abstract
Abstract. In addition to the standard resolution product (10 km), the MODerate
resolution Imaging Spectroradiometer (MODIS) Collection 6 (C006) data release
included a higher resolution (3 km). Other than accommodations for the two
different resolutions, the 10 and 3 km Dark Target (DT) algorithms are
basically the same. In this study, we perform global validation of the higher-resolution aerosol optical depth (AOD) over global land by comparing against
AErosol RObotic NETwork (AERONET) measurements. The MODIS–AERONET collocated
data sets consist of 161 410 high-confidence AOD pairs from 2000 to 2015 for
Terra MODIS and 2003 to 2015 for Aqua MODIS. We find that 62.5 and 68.4 % of AODs retrieved from Terra MODIS and Aqua MODIS, respectively, fall
within previously published expected error bounds of ±(0.05 + 0.2 × AOD), with a high correlation (R= 0.87). The scatter is not
random, but exhibits a mean positive bias of ∼ 0.06 for Terra
and ∼ 0.03 for Aqua. These biases for the 3 km product are
approximately 0.03 larger than the biases found in similar validations of the
10 km product. The validation results for the 3 km product did not have a
relationship to aerosol loading (i.e., true AOD), but did exhibit dependence
on quality flags, region, viewing geometry, and aerosol spatial variability.
Time series of global MODIS–AERONET differences show that validation is not
static, but has changed over the course of both sensors' lifetimes, with
Terra MODIS showing more change over time. The likely cause of the change of
validation over time is sensor degradation, but changes in the distribution
of AERONET stations and differences in the global aerosol system itself could
be contributing to the temporal variability of validation.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference44 articles.
1. Al-Saadi, J., Szykman, J., Pierce, R. B., Kittaka, C., Neil, D., Chu, D. A.,
Remer, L. A., Gumley, L., Prins, E., Weinstock, L., MacDonald, C., Wayland,
R., Dimmick, F., and Fishman, J.: Improving national air quality forecasts
with satellite aerosol observations, B. Am. Meteorol. Soc., 86,
1249–1261, https://doi.org/10.1175/BAMS-86-9-1249, 2005. 2. Christopher, S. A. and Zhang, J.: Shortwave aerosol radiative forcing from
MODIS and CERES observations over the oceans, Geophys. Res. Lett., 29, 1859, https://doi.org/10.1029/2002GL014803, 2002. 3. Chu, D. A., Kaufman, Y. J., Ichoku, C., Remer, L. A., Tanre, D., and Holben,
B. N.: Validation of MODIS aerosol optical depth retrieval over land,
Geophys. Res. Lett., 29, 1617, https://doi.org/10.1029/2001GL013205, 2002. 4. Dubovik, O. and King, M. D.: A flexible inversion algorithm for retrieval
of aerosol optical properties from Sun and sky radiance measurements, J. Geophys. Res., 105, 20673–20696, 10.1029/2000JD900282, 2000. 5. Eck, T. F., Holben, B. N., Reid, J. S., Dubovik, O., Smirnov, A., O'Neill, N.
T., Slutsker, I., and Kinne, S.: Wavelength dependence of the optical depth of
biomass burning, urban, and desert dust aerosols, J. Geophys. Res., 104,
31333–31349, 1999.
Cited by
104 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|